Exploitation of Distributed Energy Resources for local services on power distribution network

L. Pellegrino, R. Lazzari, D. Ronzio, G. Iannarelli, A. Cirocco, Andrea Ruffini
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引用次数: 1

Abstract

The spread use of cooling systems for residential users and industrial processes, combined with the increasing number of electric vehicles, is causing a substantial increase of the electrical load in medium and low voltage distribution networks. This increasing load is partially compensated by Distributed Generation (DG), mainly renewable and not controllable, which can however cause occasional overgeneration in the distribution network. All these events are causing unwanted situations in the distribution network, such as congestion or large variations of the power factor. One of the possible solutions to these problems is to open a market for local services, where the Distribution System Operators (DSOs) can find the necessary resources to solve the problems. This paper demonstrates the potential of a Local Services Market (LSM) for grid congestion management in a context of a real use-case. A real portion of the distribution system of Milan has been modelled and integrated into a simulator of a LSM. The results show that the proposed approach represents a valuable solution to the compensation of distribution network congestion. With the assumptions made, the average annual cost of the DSO to buy local services is around 94~€/MWh. This cost may vary depending on the error of the load forecasts, currently equal to approximately 10%.
配电网本地业务分布式能源的开发
住宅用户和工业过程中冷却系统的广泛使用,加上电动汽车数量的增加,导致中低压配电网络的电力负荷大幅增加。这种增加的负荷部分由分布式发电(DG)来补偿,DG主要是可再生的和不可控制的,但它可能导致配电网偶尔的过度发电。所有这些事件都在配电网中造成了不必要的情况,例如拥塞或功率因数的大变化。解决这些问题的一个可能办法是为本地服务开辟市场,使配电系统运营商(dso)能够找到必要的资源来解决问题。本文在一个真实用例的背景下展示了本地服务市场(LSM)在电网拥塞管理方面的潜力。米兰配电系统的一个真实部分已经建模并集成到LSM的模拟器中。结果表明,该方法是解决配电网拥塞补偿问题的有效方法。根据这些假设,DSO购买本地服务的平均年成本约为94~€/MWh。该成本可能根据负荷预测的误差而变化,目前约为10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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